{"id":"W1965024069","doi":"10.1017/s0144686x01008030","title":"Current thinking in gerontology in Canada","year":2001,"lang":"en","type":"article","venue":"Ageing and Society","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Scope (computer science); Population ageing; Context (archaeology); Independence (probability theory); Population; Public policy; Political science; Economic growth; Gerontology; Sociology; Geography; Medicine; Economics; Demography; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01987682,0.000642425,0.001092699,0.007558196,0.02407606,0.02101415,0.006849636,0.007219775,0.008500582],"category_scores_gemma":[0.02478534,0.0006484483,0.001081059,0.01501862,0.0267648,0.008447791,0.006213517,0.008437673,0.0009475473],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2768659,"about_ca_system_score_gemma":0.5996003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9931727,"about_ca_topic_score_gemma":0.9931461,"domain_scores_codex":[0.9825013,0.002688869,0.001159099,0.00153004,0.007581743,0.004539029],"domain_scores_gemma":[0.9539206,0.005679312,0.001301614,0.0006943997,0.02548017,0.01292397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001077532,0.0001317925,0.01159095,0.002599603,0.00009592684,0.0007311645,0.03824089,0.00114359,0.0003272926,0.2704194,0.4435345,0.2310773],"study_design_scores_gemma":[0.00003905741,0.00004449222,0.0166876,0.006107438,0.00009928715,0.0002582253,0.07527681,0.000694936,0.0002409409,0.06392812,0.836412,0.0002111025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006899683,0.1190464,0.0007383084,0.8312407,0.003602177,0.000044559,0.0002244583,0.00005033628,0.0381534],"genre_scores_gemma":[0.3102689,0.4201369,0.00661823,0.2327548,0.00386729,0.0001436401,0.0005092978,0.0001497716,0.02555115],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7231341,"threshold_uncertainty_score":0.8387331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02295473202377102,"score_gpt":0.2883272009006488,"score_spread":0.2653724688768778,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}